His code connects to the Joind.in API and fetches the event's talk information and the comments for each. His "calculatePearson" function then takes in two users and the set of ratings to figure out how similar their preferences are. There's also a bit of code that approaches it from a different angle - providing recommendations for users based on their own comments.